Our Decade of Designing UX/UI for AI Products in a Single Page
If you’re a business with AI product looking to:
Increase revenue through innovative product designs.
Convert 5 times more website visitors into paying clients.
Reduce marketing costs and pay less than a cup of coffee for new client retention.
Lazarev+AI will help your AI product build and scale with AI-driven and easy-to-use design.
Check the success stories of our clients below.
for our clients
our excellence
Recognised
Fast company, .INC
AI UX Design for VT News
A news portal that provides users with access to diverse perspectives on events and supports critical thinking and objective evaluation of information. Using artificial intelligence, it helps users quickly analyze and explore topics in depth.
case study
Key insights into AI+News:
Created a news portal that provides access to diverse perspectives, helping users quickly analyze and explore topics using artificial intelligence.
Deep research to understand user behavior and preferences in news consumption, enabled us to develop a strategy for integrating advanced artificial intelligence algorithms aimed at helping users quickly access specific information, prioritizing content based on user interests and current topics.
A unique way to study a topic in the form of a timeline, an interactive graph allows you to track publication bursts and analyze what preceded it. Artificial intelligence offers options for the development of events
AI UX Designer for Fintech. 2017-2024
Accern helps financial firms automate research and classify content for AI models. They needed a full UX and UI revamp, so we created their design from scratch, which delivered $40M over 7 years.
case study
Key insights into AI+Fintech:
Users often struggle to organize data from financial research. That’s why we always add a “cluster” tool to gather information in a single place for easy access.
If you’re building a chat-based interface, make sure you use AI to predict and suggest prompts for easy UX.
Users often miss AI products' value due to hard-to-read documentation and irrelevant tutorials. Instead, use an AI chatbot that offers solutions based on user tasks in real time.
AI UI Designer for Search Engine. 2023
Pika AI is a startup that directly competed with Google Search in 2023, launching an AI prediction search before Google introduced AI Overviews. Our UI design helped them become the top startup in the market.
case study
Key insights into AI+News:
Make sure your mobile version is as optimized as the desktop.
Minimize actions and time spent searching for information to attract new clients. You can build an AI that quickly summarizes the most relevant info across the Internet, and present it as your USP.
In our tests with Pika AI, we found that search products with integrated AI should create multiple ways for users to find information. Because otherwise, users turn back to Google.
AI UX Design for Sales Tech. 2023
Suits.ai is an operational platform that helps small & medium-sized businesses (SMBs) automate processes with AI. They initially struggled with product launch and sales, so we helped create a successful concept design.
case study
Key insights into AI:
When designing UX for multi-user interactions, make sure the platform supports multitasking with easy switching between tasks and tabs.
In SMB workflows, tasks often involve multiple AI requests. AI UX should let users build a sequence of commands for AI to complete before delivering final results.
Creating effective AI prompts is time-consuming, so we designed the platform to handle this task instead of users. They just enter parameters into a simple interface and receive the desired output.
AI Infra Summit
The AI Infra Summit is the premier event for data scientists, machine learning engineers, and technology leaders who are driving the future of AI. Hosted by AI Infrastructure, this one-day conference brings together experts from across the industry to share insights, best practices, and emerging trends in the field of machine learning infrastructure. From architecture and scalability to security and governance, the Summit offers an opportunity for attendees to stay at the forefront of AI development and unlock new opportunities for innovation.
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Key insights into design solutions:
The AI Infra Summit offers a unique opportunity to connect with and learn from leading experts in the field, gaining valuable insights into the latest trends, challenges, and opportunities in AI infrastructure. Demonstration of possibilities with the help of different key messages for interest and satisfaction of answers
Brightness, dynamism and volume demonstrate the uniqueness of the summit, attract attention and highlight the event in a busy environment of information and advertising.
Development of a visual style and its support at all stages from digital to print materials, allowed to create a holistic line of brand perception and immerse into the space AI Infra Summit
AI UX Design for Adtech. 2018
Cleoo is the fastest-growing AI ad tech. The platform needed a full AI and UX design to generate more conversions, which we delivered in just 6 weeks.
case study
Key insights into AI+Adtech:
Make sure UX for Adtech focuses on grouping items (like images) and allows users to manage them in bulk.
Our results show that desktop users dominate mobile in B2B SaaS platforms. However, mobile versions should still provide up-to-date information.
We used custom-built tech to predict ad performance based on previous tests. This way we simplified user workflow and reduced steps to creating converting ads.
AI UX Design for Sales Tech. 2023 #2
Suits.ai is an operational platform that helps small & medium-sized businesses (SMBs) automate processes with AI. They initially struggled with product launch and sales, so we helped create a successful concept design.
case study
Key insights into AI+Sales tech:
Prompt engineering can sometimes be a daunting task that takes a lot of time. A preset list of use cases with tested prompts speeds up the workflow for SMBs.
Users now take advantage of AI for a myriad of tasks. Having a list of customized assistants that account for the context of each direction they are assigned to, dramatically increases the accuracy of the result.
When building AI interfaces meant to be used at work, it's crucial to give users an ability to multitask, switch between different conversations and give tasks to assistants simultaneously.